VP of Data Science

New York, New York Data Science Posted January 5, 2024
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Job: VP of Data Science
Location:  NYC
Type: Full time
Compensation: $200 – $280K Compensation is determined by JBC and is commiserate with years’ experience. 


VP of Data Science Responsibilities:

  • Lead multiple high-impact, end to end data science projects.

  • Promote the benefits, use cases, and impact of machine learning and AI both internally to senior leadership and externally to the firm’s clients.

  • Expand and upskill the data science team, including recruiting top talent, onboarding new team members, and advancing existing team members’ capabilities.

  • Help build a brand for the company in the analytics community by participating in forums, writing blog posts, and defining the overall strategy for our team

  • Utilize your expertise in machine learning and AI to develop innovative pricing, marketing, and sales strategies for clients in various industries (mobility, IoT, industrials, consumer goods, financial services, and nonprofit organizations).

  • Drive business development by serving as the data science expert on highly innovative and analytical project opportunities.

  • Swap insights on the latest data trends in engaging team discussions

  • Conducting research and observing changes in the advanced analytics market


  • Bachelor’s or Master’s degree holder (in the preferred subject areas of business, economics, data science, or engineering)

  • Background of data science knowledge, deep industry expertise, and consulting experience you are eager to use your vast skillset.

  • You have 10+ years’ experience working in data science and advanced analytics in a client-facing and/or management role.

  • Prior experience managing data science teams and helped mentor and develop junior data scientists.

  • As an expert communicator, you are able to interpret and distill complex problems and collaborate with analytics and business stakeholders to identify data science analytics solutions that deliver meaningful business outcomes.

  • You are an individual who gets excited about working with customers to apply innovations within analytics to overcome business challenges to drive top line growth.

  • You have client facing experience and know how to translate analytics into value propositions that are digestible and understandable by the marketplace.

  • In a programming language of your choice (e.g., Python, R), you can demonstrate your skills in modeling

  • Your proficiency in selecting and applying AL and ML methods such as Random Forest, Neural Networks, Support Vector Machines, etc., sets you apart

  • You have knowledge of the most common cloud-based machine learning engines

  • Experience using Python, SQL, GIT/Jira, Unix/Linux, Cloud Platforms (GCP/AWS)

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